The Webinar from 19.08.2022 Sportsbox AI 3D

This webinar explores the innovative application of AI and pose estimation in golf, focusing on the advancements made by the Oklahoma State Golf Team. Jonathan Moore shares insights on the integration of technology for enhancing golf performance, highlighting the transition from traditional motion analysis to advanced AI-driven methods.

Artificial Intelligence in Golf:

  • Transition from Traditional to AI: Initially, golf analysis involved manually digitizing body points to create a stick figure representation of a golfer's posture and movement. Advanced Motion Measurement (AMM) improved this process by using sensors, but AI and pose estimation have significantly advanced it.
  • Pose Estimation Evolution: Early systems captured around 18 points, but current AI technologies can track over 37 points with six degrees of freedom, offering detailed analysis of the body's major segments.

Key Insights:

  • Detailed Body Segment Analysis: Unlike traditional methods that treat the torso as a single unit, AI allows for separate analysis of the chest and pelvis, providing a more nuanced understanding of their independent movements and core dynamics.
  • Linear and Rotational Components: Analysis includes linear movements (sway, thrust, lift) and rotational movements (bend, side bend, turn), enhancing the understanding of a golfer's swing mechanics.

Golf Performance and AI:

  • X-Factor and X-Factor Stretch: The difference between chest and pelvis turn, known as the X-Factor, is crucial for generating swing speed. An increase in the X-Factor during the downswing, or X-Factor Stretch, correlates with increased club head speed.
  • Insights from Tour Pro Database: Data reveals that both chest and pelvis rotation commence before the top of the backswing, contributing to a larger range of motion and potential for speed generation.

Practical Applications:

  • Oklahoma State Golf Team's Use: Jonathan Moore discusses how the Oklahoma State Golf Team incorporates AI and pose estimation into their training, focusing on maximizing performance through detailed motion analysis.

Insights based on numbers:

  • Increased Precision: AI enables tracking of over 37 body points, offering precise analysis of golf swings.
  • Efficiency in Analysis: Time spent on traditional analysis methods is significantly reduced, enabling more efficient training sessions.

Example exploratory questions:

  1. How does AI-driven pose estimation differ from traditional motion analysis in golf training?
  2. What specific benefits does the Oklahoma State Golf Team derive from using AI in their training regimen?
  3. How does the detailed analysis of body segments like the chest and pelvis impact a golfer's performance improvement strategy?

If you have any more questions or seek further clarification on any points discussed in the webinar or a demo of the Sportsbox AI 3D Teaching System, feel free to ask.